1. Moreno, R., A. D’Anjou.: Hyperspectral image segmentation by t-watershed and hyperspherical coordinates. In: Graa, M., Toro, C., Posada, J., Howlett, R.J., Jain, L.C. (eds.) KES. Frontiers in Artificial Intelligence and Applications, vol. 243, pp. 2114–2121, IOS Press, Amsterdam (2012)
2. Moreno, R., Graa, M., Zulueta.: RGB colour gradient following colour constancy preservation. Electron. Lett. 46(13), 908–910 (2010)
3. Borges, J.S., Bioucas-Dias, J.M., Marcal, A.R.: Bayesian hyperspectral image segmentation with discriminative class learning. IEEE Trans. Geosci. Remote Sens. 49, 2151–2164 (2011)
4. Li J., Bioucas-Dias, J.M., Plaza, A.: Spectral-spatial hyperspectral image segmentation using subspace multinomial logistic regression and markov random fields. IEEE Trans. Geosci. Remote Sens. 50(3), 809–823 (2012)
5. Bilgin, G., Erturk, S., Yildirim, T.: Segmentation of hyperspectral images via subtractive clustering and cluster validation using One-Class support vector machines. IEEE Trans. Geosci. Remote Sens. 49, 2936–2944 (2011)